179 / 2015-11-30 16:22:06
A Fast and Improved Image Compression Technique Using Huffman Coding
Image Compression, Huffman Coding, PSNR, MSE, CR, BPP.
Final Paper
Rachit Patel / ABES Institute of Technology, Ghaziabad
Virendra Kumar / ABES Institute of Technology, Ghaziabad
Vaibhav Tyagi / ABES Institute of Technology, Ghaziabad
Vishal Asthana / ABES Institute of Technology, Ghaziabad
Image Compression using Huffman coding technique is simpler & easiest compression technique. Compression of image is an important task as its implementation is easy and obtains less memory. The purpose of this paper is to analyse Huffman coding technique which is basically used to remove the redundant bits in data by analysing different image quality parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Bits Per Pixel (BPP) for the various input image of different size and the new method of splitting an input image into equal rows & columns and at final stage sum of all individual compressed images which not only provide better result but also the information content will be kept secure. An image compression technique has various advantages in the field of image analysis and also for the security purpose for the image.
Important Date
  • Conference Date

    Mar 23

    2016

    to

    Mar 25

    2016

  • Nov 30 2015

    Early Bird Registration

  • Dec 30 2015

    Draft paper submission deadline

  • Jan 30 2016

    Draft Paper Acceptance Notification

  • Feb 05 2016

    Final Paper Deadline

  • Mar 25 2016

    Registration deadline

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IEEE Madras Section
SSN College of Engineering - SSN Trust
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